Overview
Quote
Beschrijving
Everpure, Inc. engages in the business of delivering innovative and disruptive data storage, products, and services that enable customers to maximize the value of data. The firm is also involved in the provision of data storage and management with a mission to redefine the storage experience by simplifying how people consume and interact with data. The company was founded by John M. Hayes and John Colgrove in October 2009 and is headquartered in Santa Clara, CA.
Technology Hardware Computer Hardware and Storage United States
Grafiek
Financiële kerngegevens
Kerncijfers
| Marktkapitalisatie, EUR | 20,534 m |
| WPA, EUR | 0.48 |
| KBV | 16.6 |
| K/W | 132.6 |
| Dividendrendement | 0.00% |
Income statement (2025)
| Omzet, EUR | 3,212 m |
| Netto-inkomen, EUR | 165 m |
| Winstmarge | 5.14% |
What ETF is Everpure in?
There are 27 ETFs which contain Everpure. All of these ETFs are listed in the table below. The ETF with the largest weighting of Everpure is the Goldman Sachs ActiveBeta® Paris-Aligned Sustainable US Large Cap Equity UCITS ETF CLASS USD (Acc.).
Prestaties
Rendementsoverzicht
| YTD | +9,99% |
| 1 maand | +18,19% |
| 3 maanden | +17,91% |
| 6 maanden | -24,30% |
| 1 jaar | +52,09% |
| 3 jaar | +210,24% |
| 5 jaar | +317,91% |
| Since inception | +349,65% |
| 2025 | -3,20% |
| 2024 | +84,32% |
| 2023 | +27,61% |
| 2022 | -11,97% |
Maandelijks rendement in een heat map
Risico
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risico-overzicht
| Volatiliteit 1 jaar | 57,73% |
| Volatiliteit 3 jaar | 53,19% |
| Volatiliteit 5 jaar | 49,00% |
| Rendement/Risico 1 jaar | 0,90 |
| Rendement/Risico 3 jaar | 0,86 |
| Rendement/Risico 5 jaar | 0,68 |
| Maximaal waardedaling 1 jaar | -41,94% |
| Maximaal waardedaling 3 jaar | -51,38% |
| Maximaal waardedaling 5 jaar | -51,38% |
| Maximaal waardedaling sinds aanvang | -58,33% |
Voortschrijdende volatiliteit over 1 jaar
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.
